Ads Mastery FAQ Chatbot

Zero-cost FAQ chatbot that answers questions from your PDF guides.

Tech Stack (All Free)

Component	Tool	Cost
LLM	Groq (Llama 3.1)	Free
Embeddings	HuggingFace	Free
Vector DB	ChromaDB (local)	Free
Frontend	Streamlit	Free
Hosting	Streamlit Cloud	Free

Local Setup (5 minutes)

1. Get Free Groq API Key

1. Go to https://groq.com
2. Sign in with Google (no credit card)
3. Go to API Keys → Create
4. Copy your key

2. Install Dependencies

cd projects/faq-chatbot
pip install -r requirements.txt

3. Add Your PDFs

# Create pdfs folder
mkdir pdfs

# Copy your PDFs
cp /path/to/your/pdfs/*.pdf pdfs/
cp /path/to/your/txts/*.txt pdfs/

4. Run Locally

streamlit run app.py

Open http://localhost:8501

Deploy to Streamlit Cloud (Free Forever)

1. Create GitHub Repo

git init
git add .
git commit -m "Initial commit"
git remote add origin https://github.com/YOUR_USERNAME/ads-faq-bot.git
git push -u origin main

2. Deploy on Streamlit Cloud

1. Go to https://share.streamlit.io
2. Sign in with GitHub
3. Click "New app"
4. Select your repo
5. Click "Deploy"

3. Add Environment Variable

In Streamlit Cloud dashboard:

1. Go to your app → Settings → Secrets
2. Add:

GROQ_API_KEY = "your_groq_key_here"

3. Reboot app

Usage

Users can ask questions like:

• "How do I set up a Meta ad campaign?"
• "What's the best TikTok ad strategy?"
• "How to monetize ads effectively?"
• "What budget should I start with?"

The bot answers based ONLY on your PDF content.

Customize

Change LLM Model

In app.py, change:

model_name="llama-3.1-70b-versatile"  # Options: llama-3.1-8b-instant, mixtral-8x7b-32768

Change Embeddings

model_name="sentence-transformers/all-MiniLM-L6-v2"  # Faster: "all-MiniLM-L6-v2"

Adjust Chunk Size

chunk_size=1000,  # Smaller = more precise, Larger = more context
chunk_overlap=200

Monetization Ideas

1. Embed on Your Site - Add as widget to your landing page
2. Lead Magnet - Free chat, paid full PDF access
3. Consultation Funnel - Chat leads to booking call
4. White Label - Build for clients, charge setup fee

Files Structure

faq-chatbot/
├── app.py              # Main Streamlit app
├── requirements.txt    # Python dependencies
├── README.md           # This file
├── pdfs/               # Your PDF documents
│   ├── meta-ads.pdf
│   ├── tiktok-ads.pdf
│   └── ...
└── chroma_db/          # Vector database (auto-created)

Support

• Groq docs: https://console.groq.com/docs
• LangChain docs: https://python.langchain.com
• Streamlit docs: https://docs.streamlit.io

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Created for Master A | 2026-02-21